Text Generation
Safetensors
English
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@@ -10,7 +10,7 @@ base_model:
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  - meta-llama/Llama-3.1-8B
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  pipeline_tag: text-generation
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  ---
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- ## Introduction
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  RAG-Instruct is a method for generating diverse and high-quality RAG instruction data. It synthesizes instruction datasets based on any source corpus, leveraging the following approaches:
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@@ -55,7 +55,7 @@ outputs = model.generate(**inputs, max_new_tokens=2048)
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  print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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  ```
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- ## 📖 Citation
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  ```
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  @misc{liu2024raginstructboostingllmsdiverse,
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  title={RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions},
 
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  - meta-llama/Llama-3.1-8B
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  pipeline_tag: text-generation
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  ---
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+ ## Introduction
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  RAG-Instruct is a method for generating diverse and high-quality RAG instruction data. It synthesizes instruction datasets based on any source corpus, leveraging the following approaches:
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  print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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  ```
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+ ## Citation
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  ```
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  @misc{liu2024raginstructboostingllmsdiverse,
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  title={RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions},